22 NIR Imaging
549
10. A. Baiano, Applications of hyperspectral imaging for quality assessment of liquid based and
semi-liquid food products: A review. J. Food Eng. 214, 10–15 (2017)
11. A.A. Gowen, C.P. O’Donnell, P.J. Cullen, S.J. Bell, Recent applications of chemical Imaging
to pharmaceutical process monitoring and quality control. Eur. J. Pharm. Biopharm. 69, 10–22
(2008)
12. T. Adão, J. Hruška, L. Padua, J. Bessa, E. Peres, R. Morais, J. Sousa, Hyperspectral imaging:
A review on UAV-based sensors, data processing and applications for agriculture and forestry.
Remote Sens. 9, 1110 (2017)
13. E. Bauriegel, A. Giebel, M. Geyer, U. Schmidt, W.B. Herppich, Early detection of fusarium
infection in wheat using hyper-spectral imaging. Comput. Electron. Agric. 75, 304–312 (2011)
14. M.S. Kim, Y.R. Chen, B.K. Cho, K. Chao, C.C. Yang, A.M. Lefcourt, D. Chan, Hyperspectral
reflectance and fluorescence line-scan imaging for online defects and fecal contamination
inspection of apples. Sens. Instrum. Food Qual. Saf. 1(3), 151–159 (2007)
15. C. Ridgway, J. Chambers, detection of insects inside wheat kernels by NIR imaging. J. Near
Infrared Spectro. 6, 115–119 (1998)
16. W.H. Su, D.W. Sun, Evaluation of spectral imaging for inspection of adulterants in terms of
common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour.
J. Food Eng. 200, 59–69 (2017)
17. Y. Liu, H. Pu, D.W. Sun, Hyperspectral imaging technique for evaluating food quality and
safety during various processes: a review of recent applications. Trends Food Sci. Technol. 69,
25–35 (2017)
18. N. Abdel-Nour, M. Ngadi, Detection of omega-3 fatty acid in designer eggs using hyperspectral
imaging. Int. J. Food Sci. Nutr. 62, 418–422 (2011)
19. W. Zhang, L. Pan, S. Tu, G. Zhan, K. Tu, Non-destructive internal quality assessment of eggs
using a synthesis of hyperspectral imaging and multivariate analysis. J. Food Eng. 157, 41–48
(2015)
20. J.L. Skytte, F. Møller, O.H.A. Abildgaard, A. Dahl, R. Larsen, Discriminating yogurt
microstructure using diffuse reflectance images, in Image Analysis, Proceedings of the 19th
Scandinavian Conference (2015), (SCIA, Copenhagen, Denmark, 2015), pp. 187–198
21. O.H.A. Abildgaard, F. Kamran, A.B. Dahl, J.L. Skytte, F.D. Nielsen, C.L. Thomsen, P.E.
Andersen, R. Larsen, J.R. Frisvad, Non-invasive assessment of dairy products using spatially
resolved diffuse reflectance spectroscopy. Appl. Spectro. 69, 1096–1105 (2015)
22. K. Murayama, D. Ishikawa, T. Genkawa, H. Sugino, M. Komiyama, Y. Ozaki, Image monitoring
of pharmaceutical blending process and the determination of an end point by using a portable
near-infrared imaging device based on a polychromator-type near-infrared spectrometer with
a high-speed and high-resolution photo diode array. Molecules 20, 4007–4019 (2015)
23. D. Ishikawa, K. Murayama, A. Kimie, T. Genkawa, M. Komiyama, SG. Kazarian, Y. Ozaki,
Application of a newly developed portable NIR imaging device to dissolution process
monitoring of tablets. Anal. Bioanal. Chem. 9401–9409 (2013)
24. K. Awa, T. Okumura, H. Shinzawa, M. Otsuka, Y. Ozaki, Self-modeling curve resolution
(SMCR) analysis of near-infrared (NIR) imaging data of pharmaceutical tablets. Anal. Chim.
Acta 619, 81–86 (2008)
25. D. Ishikawa, K. Murayama, T. Genkawa, Y. Kitagawa, Y. Ozaki, An identification method for
defective tablets by distribution analysis of NIR imaging. J. Spectral Imaging 8, a15 (2019)
26. H. Shinzawa, M. Nishida, T. Tanaka, W. Kanematsu, Crystalline structure and mechanical property of poly(lactic acid) nanocomposite probed by near-infrared (NIR) hyperspectral imaging.
Vib. Spectro. 60, 50–53 (2012)
27. H. Shinzawa, M. Nishida, A. Tsuge, D. Ishikawa, Y. Ozaki, S. Morita, W. Kanematsu,
Thermal behavior of poly(lactic acid)-nanocomposite studied by near-infrared imaging based
on roundtrip temperature scan. Appl. Spectro. 68(3), 371–378 (2014)
28. H. Shinzawa, J. Mizukado, Near-infrared (NIR) disrelation mapping analysis for poly(lactic)
acid nanocomposite. Spectrochim. Acta a 181, 1–6 (2017)
29. D. Ishikawa, T. Nishii, F. Mizuno, S.G. Kazarian, Y. Ozaki, Potential of a newly developed high
speed near-infra red (NIR) camera (Compovision) in polymer industrial analyses—monitoring
549
10. A. Baiano, Applications of hyperspectral imaging for quality assessment of liquid based and
semi-liquid food products: A review. J. Food Eng. 214, 10–15 (2017)
11. A.A. Gowen, C.P. O’Donnell, P.J. Cullen, S.J. Bell, Recent applications of chemical Imaging
to pharmaceutical process monitoring and quality control. Eur. J. Pharm. Biopharm. 69, 10–22
(2008)
12. T. Adão, J. Hruška, L. Padua, J. Bessa, E. Peres, R. Morais, J. Sousa, Hyperspectral imaging:
A review on UAV-based sensors, data processing and applications for agriculture and forestry.
Remote Sens. 9, 1110 (2017)
13. E. Bauriegel, A. Giebel, M. Geyer, U. Schmidt, W.B. Herppich, Early detection of fusarium
infection in wheat using hyper-spectral imaging. Comput. Electron. Agric. 75, 304–312 (2011)
14. M.S. Kim, Y.R. Chen, B.K. Cho, K. Chao, C.C. Yang, A.M. Lefcourt, D. Chan, Hyperspectral
reflectance and fluorescence line-scan imaging for online defects and fecal contamination
inspection of apples. Sens. Instrum. Food Qual. Saf. 1(3), 151–159 (2007)
15. C. Ridgway, J. Chambers, detection of insects inside wheat kernels by NIR imaging. J. Near
Infrared Spectro. 6, 115–119 (1998)
16. W.H. Su, D.W. Sun, Evaluation of spectral imaging for inspection of adulterants in terms of
common wheat flour, cassava flour and corn flour in organic Avatar wheat (Triticum spp.) flour.
J. Food Eng. 200, 59–69 (2017)
17. Y. Liu, H. Pu, D.W. Sun, Hyperspectral imaging technique for evaluating food quality and
safety during various processes: a review of recent applications. Trends Food Sci. Technol. 69,
25–35 (2017)
18. N. Abdel-Nour, M. Ngadi, Detection of omega-3 fatty acid in designer eggs using hyperspectral
imaging. Int. J. Food Sci. Nutr. 62, 418–422 (2011)
19. W. Zhang, L. Pan, S. Tu, G. Zhan, K. Tu, Non-destructive internal quality assessment of eggs
using a synthesis of hyperspectral imaging and multivariate analysis. J. Food Eng. 157, 41–48
(2015)
20. J.L. Skytte, F. Møller, O.H.A. Abildgaard, A. Dahl, R. Larsen, Discriminating yogurt
microstructure using diffuse reflectance images, in Image Analysis, Proceedings of the 19th
Scandinavian Conference (2015), (SCIA, Copenhagen, Denmark, 2015), pp. 187–198
21. O.H.A. Abildgaard, F. Kamran, A.B. Dahl, J.L. Skytte, F.D. Nielsen, C.L. Thomsen, P.E.
Andersen, R. Larsen, J.R. Frisvad, Non-invasive assessment of dairy products using spatially
resolved diffuse reflectance spectroscopy. Appl. Spectro. 69, 1096–1105 (2015)
22. K. Murayama, D. Ishikawa, T. Genkawa, H. Sugino, M. Komiyama, Y. Ozaki, Image monitoring
of pharmaceutical blending process and the determination of an end point by using a portable
near-infrared imaging device based on a polychromator-type near-infrared spectrometer with
a high-speed and high-resolution photo diode array. Molecules 20, 4007–4019 (2015)
23. D. Ishikawa, K. Murayama, A. Kimie, T. Genkawa, M. Komiyama, SG. Kazarian, Y. Ozaki,
Application of a newly developed portable NIR imaging device to dissolution process
monitoring of tablets. Anal. Bioanal. Chem. 9401–9409 (2013)
24. K. Awa, T. Okumura, H. Shinzawa, M. Otsuka, Y. Ozaki, Self-modeling curve resolution
(SMCR) analysis of near-infrared (NIR) imaging data of pharmaceutical tablets. Anal. Chim.
Acta 619, 81–86 (2008)
25. D. Ishikawa, K. Murayama, T. Genkawa, Y. Kitagawa, Y. Ozaki, An identification method for
defective tablets by distribution analysis of NIR imaging. J. Spectral Imaging 8, a15 (2019)
26. H. Shinzawa, M. Nishida, T. Tanaka, W. Kanematsu, Crystalline structure and mechanical property of poly(lactic acid) nanocomposite probed by near-infrared (NIR) hyperspectral imaging.
Vib. Spectro. 60, 50–53 (2012)
27. H. Shinzawa, M. Nishida, A. Tsuge, D. Ishikawa, Y. Ozaki, S. Morita, W. Kanematsu,
Thermal behavior of poly(lactic acid)-nanocomposite studied by near-infrared imaging based
on roundtrip temperature scan. Appl. Spectro. 68(3), 371–378 (2014)
28. H. Shinzawa, J. Mizukado, Near-infrared (NIR) disrelation mapping analysis for poly(lactic)
acid nanocomposite. Spectrochim. Acta a 181, 1–6 (2017)
29. D. Ishikawa, T. Nishii, F. Mizuno, S.G. Kazarian, Y. Ozaki, Potential of a newly developed high
speed near-infra red (NIR) camera (Compovision) in polymer industrial analyses—monitoring